Skip to content

A machine learning project aimed at determining the fasibility of using machine learning (and general statistics) to better predict ecological restoration.

Notifications You must be signed in to change notification settings

f-vasquez-tavera/plant-restoration-size

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

plant-restoration-size

A project aimed at determining the fasibility of using a monte carlo simulation to determine a minimum sample size. For more details please read my blog post on the project here

This project was motivated by many long hours spent in the field counting plants, with the suspicion at the back of my mind that it was possible to obtain the same results with less work.

Libraries and Modules Used:

python:

File Structure

plant-restoration-size/
├── Figures/
│ ├── croton-magdalenensis.jpg
│ ├── Fig1.png
│ ├── Fig2.png
│ ├── Fig3.png
│ ├── imgur1.png
│ ├── imgur2.png
│ └── imgur3.png
├── raw data/
│ └── esmeraldat4.xlsx
├── get_stat_params.ipynb
├── process_data.ipynb
├── README.md
└── t4_clean.p

How to run:

The data has been processed already. To see data preprocessing steps go to process_data.ipynb. To see the model, go to get_stat_params.ipynb. Any feedback is welcome!

About

A machine learning project aimed at determining the fasibility of using machine learning (and general statistics) to better predict ecological restoration.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published